Distributed and Cluster Computing

Papers filed under cs.DC on arXiv, each one already summarized by Paperlayer. Open any of them to read the summary beside the original PDF, with every point linked to the line, figure, or table it came from.

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1 to 60 of 1,599

waLBerla: A block-structured high-performance framework for multiphysics simulations
Martin Bauer, Sebastian Eibl, Christian Godenschwager +8
cs.DCcs.CEphysics.comp-pharXiv:1909.13772v12019
A Survey on Resource Management in Joint Communication and Computing-Embedded SAGIN
Qian Chen, Zheng Guo, Weixiao Meng +3
cs.NIcs.DCarXiv:2403.17400v32024
CompileMask: Bridging the Gap Between Expressiveness and Efficiency in Attention Masking
Hongzheng Li, Jiacheng Wan, Zhaolong Xing +8
cs.DCarXiv:2610.13474v12026
Stacked Intelligent Metasurface-Based MultiModal Feature Fusion for Collaborative Inference in Edge Networks
Yushi Wang, Zhengxin Yu, Guhan Zheng +3
cs.DCarXiv:2610.13364v12026
Deployment of a Blockchain-Based Self-Sovereign Identity
Quinten Stokkink, Johan Pouwelse
cs.DCcs.CRcs.CYarXiv:1806.01926v12018
Capturing Electrical Windows Through Reconfigurable Optical Networks: Transfer-aware Scheduling of Multi-Region AI Data Centers
Xi Tong, Zijian Li, Xiaoyi Fan +3
cs.DCarXiv:2610.13061v12026
Execution-Feasible Dispatch of LLM Pre-training Loads for Renewable-Dominant AI Data Centers
Xi Tong, Ershun Du, Haiyang Jiang +2
cs.DCarXiv:2610.13047v12026
FedCor: Correlation-Based Active Client Selection Strategy for Heterogeneous Federated Learning
Minxue Tang, Xuefei Ning, Yitu Wang +4
cs.LGcs.DCarXiv:2103.13822v32021
Distributed computation of persistent homology
Ulrich Bauer, Michael Kerber, Jan Reininghaus
cs.CGcs.DCmath.ATarXiv:1310.0710v12013
FL-WBC: Enhancing Robustness against Model Poisoning Attacks in Federated Learning from a Client Perspective
Jingwei Sun, Ang Li, Louis DiValentin +3
cs.LGcs.AIcs.CVarXiv:2110.13864v12021
Acceleration of Data Analytics on Heterogeneous Supercloud Systems
Georgios Zacharopoulos, Ilias Bournias, Lukas Cavigelli
cs.DCcs.MScs.PFarXiv:2610.06291v12026
Terracotta: Enabling the Adoption of New DRAM Techniques via a Flexible DRAM Interface and Memory Controller
Harsh Songara, Konstantinos Kanellopoulos, F. Nisa Bostancı +6
cs.ARcs.CRcs.DCarXiv:2610.06475v22026
High Speed Network Processing for Scientific Computing in the Open Cloud Testbed
Miriam Leeser, Michael Zink, Suranga Handagala +3
cs.NIcs.DCarXiv:2610.07377v12026
RESOLVE: Language-Agnostic Validation of GPU Kernels Through Testing, Reduction, and Proof
Ashkan Vedadi Gargary, Guido Martínez, Sebastian Burckhardt +4
cs.PLcs.DCcs.LGarXiv:2610.05683v12026
Mosaic: GPU Sharing with Latency Guarantees through Kernel-Level Interference Prediction
Foteini Strati, Ethan Graham, Leo Stephan +2
cs.DCarXiv:2610.07504v12026
Flexible Byzantine Fault Tolerance
Dahlia Malkhi, Kartik Nayak, Ling Ren
cs.CRcs.DCarXiv:1904.10067v22019
mKernel: Fast Multi-GPU, Multi-Node Fused Kernels
Ziming Mao, Yihan Zhang, Shawn Wei Chew +5
cs.DCcs.AIcs.LGarXiv:2609.13585v12026
A Measured Communication-Quality Frontier for Federated LoRA Fine-Tuning with Adaptive Phase-Switching
Jerry Adams Franklin
cs.LGcs.AIcs.DCarXiv:2609.13512v22026
Sharper Convergence Guarantees for Asynchronous SGD for Distributed and Federated Learning
Anastasia Koloskova, Sebastian U. Stich, Martin Jaggi
cs.LGcs.DCmath.OCarXiv:2206.08307v12022
Automatically Detecting and Fixing Deadlocks in Go Code with GoDDaR
Gustavo Feio, Jorge Coelho, Miguel Flor +2
cs.PLcs.DCcs.SEarXiv:2610.08962v12026
Adaptive Multi-Discriminator WGAN Framework for Resource-Constrained Internet of Vehicles Using Reinforcement Learning and Game Theory
Farhoud Jafari Kaleibar, Amr M. Zaki, Marin Litoiu
cs.LGcs.DCarXiv:2610.10926v12026
Hybrid Monitoring for Early Fault Detection in Cloud-Native 5G Systems
Anton Andersson, Sai Akshara Naineni, Mats Jansborg +2
cs.NIcs.DCarXiv:2609.12649v12026
HeatCache: Thermal-aware Energy-efficient LLM Inference Scheduling for Chassis-level Liquid Cooling in Sustainable Edge Server Rooms
Rui Lu, Huanghuang Liang, Kaiqi Guan +1
cs.DCcs.PFcs.SYarXiv:2609.12449v12026
ForgeMegakernel: A General Framework for Efficient Auto-Regressive Model Decode Megakernels
Leshan Li, Zhui Zhu, Xianglong Deng +6
cs.DCarXiv:2609.12379v12026
Unleashing the Power of Equality Saturation for Tensor Program Superoptimization
Qi Zhan, Xing Hu, Xin Xia +1
cs.DCarXiv:2609.12330v12026
A Dynamic Vertical Scaling Strategy for Distributed Stream Processing Applications in Edge Computing
Guilherme Hiago Costa dos Santos, Carlos Henrique Kayser, Tiago Coelho Ferreto
cs.DCarXiv:2609.12975v12026
GreenDirector: carbon- and water-aware workload placement for sustainable computing
Jaime Iglesias Blanco, Ignacio Heredia, María Castrillo +3
cs.DCarXiv:2609.12602v22026
Argus: Orchestrating Cross-Layer GPU Performance Measurements around Semantic Regions
Jianzhu Yao, Yue Guan, Srivatsan Ramesh +11
cs.DCcs.PFarXiv:2609.12299v12026
Extreme-Scale Linear-Scaling Kohn-Sham DFT at 100 Million Atoms: Bridging Quantum Simulations and Experiments
Qimen Xu, Yu Zhang, Dixing Ni +11
cs.CEcs.DCphysics.comp-pharXiv:2609.13115v12026
NFT-Based Reward Mechanisms: Sybil Farming, Vesting, and Stochastic Verification
Marco Alberto Javarone, Stefanos Leonardos, Carmine Ventre
cs.CEcs.DCcs.GTarXiv:2609.13064v12026
A Feature-Rich Embedded NIDS with eBPF/XDP: Detector and Architecture Trade-offs
Shiqi Wu, Oleksii Koshovyi, Georgios Pseiridis Pseiras +2
cs.CRcs.DCcs.NIarXiv:2609.12605v12026
Dissecting GPU Utilization for LLM Inference on Nvidia Hopper
Mohammad Siavashi, Gerald Q. Maguire Jr., Dejan Kostic +1
cs.PFcs.ARcs.DCarXiv:2609.12923v12026
HoliBench: A Cross-Platform Benchmarking and Deployment Toolkit for Foundation Models in CPS-IoT Applications
Inesh Chakrabarti, Zejun Xiong, Pragya Sharma +1
cs.DCcs.LGcs.PFarXiv:2609.12412v12026
Performance Limits for Distributed Estimation Over LMS Adaptive Networks
Xiaochuan Zhao, Ali H. Sayed
cs.ITcs.DCcs.SYarXiv:1206.3728v12012
Hidden in Rounds: Predicting the Time Cost of 802.11 Contention in Federated Learning
Satwat Bashir, Tasos Dagiuklas
cs.LGcs.DCarXiv:2609.12903v12026
New Contraction Bounds for Multidimensional Asymptotic Consensus in Dynamic Networks
Zeremonienmeister Berber Aab, Darya Melnyk, Stefan Schmid
cs.DCarXiv:2610.11805v12026
Locally Repairable Codes with Multiple Repair Alternatives
Lluis Pamies-Juarez, Henk D. L. Hollmann, Frédérique Oggier
cs.ITcs.DCmath.ITarXiv:1302.5518v22013
Oobleck: Resilient Distributed Training of Large Models Using Pipeline Templates
Insu Jang, Zhenning Yang, Zhen Zhang +2
cs.DCcs.LGarXiv:2309.08125v22023
4D Parallelism Unlocks Exascale Bayesian Neural Networks for High-Fidelity Atmospheric Modeling
Deifilia Kieckhefen, Juan Pedro Gutiérrez Hermosillo Muriedas, Lars Helge Heyen +12
physics.ao-phcs.AIcs.DCarXiv:2609.12815v12026
Fast and Memory Efficient Offload Training Framework with Hybrid XPU Computation
Zhiyi Yao, Zuning Liang, Yuedong Xu +3
cs.DCarXiv:2610.09657v12026
Federated Zeroth-Order Optimization with Direction Aggregation and Variance Reduction
Qianlong Dang, Baosheng Li
cs.DCarXiv:2610.11821v12026
RoofLang: Enabling AI-Driven Architecting of LLM Inference Systems
Ziyue Yang, Yuting Jiang, Lei Qu +1
cs.DCcs.AIarXiv:2609.12551v22026
BRIDGE: Byzantine-resilient Decentralized Gradient Descent
Cheng Fang, Zhixiong Yang, Waheed U. Bajwa
stat.MLcs.DCcs.LGarXiv:1908.08098v32019
IAPRepair: In-Network Aggregation Enhanced Proactive Repair for Erasure-Coded Storage System
Lei Liu, Yong Wang, Junqi Chen +3
cs.DCarXiv:2610.11114v12026
Sherman: A Write-Optimized Distributed B+Tree Index on Disaggregated Memory
Qing Wang, Youyou Lu, Jiwu Shu
cs.DCcs.DBcs.NIarXiv:2112.07320v22021
OneLA: Scaling Linear-Attention Decoding to Large Beams in Generative Recommendation
Xiangrui Yang, Cheng Peng, Yunfeng Zhao +9
cs.AIcs.DCcs.IRarXiv:2609.12399v12026
NovaFabric: Tamper-Evident, Replayable Evidence for Autonomous AI Agent Runs
Mohsen Seyedkazemi Ardebili
cs.CRcs.DCarXiv:2609.12582v12026
The Blockchain Anomaly
Christopher Natoli, Vincent Gramoli
cs.DCarXiv:1605.05438v12016
Efficient Decentralized Deep Learning by Dynamic Model Averaging
Michael Kamp, Linara Adilova, Joachim Sicking +4
cs.LGcs.AIcs.DCarXiv:1807.03210v22018
A Survey and Taxonomy of Self-Aware and Self-Adaptive Cloud Autoscaling Systems
Tao Chen, Rami Bahsoon, Xin Yao
cs.SEcs.DCarXiv:1609.03590v42016
Recent Advances in Bayesian Optimization
Xilu Wang, Yaochu Jin, Sebastian Schmitt +1
cs.LGcs.DCcs.NEarXiv:2206.03301v22022
NosRacer: Dynamic Detection of Race Conditions in On-Device Network Operating Systems
Runze Wu, Jingbo Zhai, Shanming Ping +8
cs.DCcs.SEarXiv:2610.11875v12026
Zepp: Accelerating Distributed MoE Serving under Relaxed Balance Constraints
Chang Chen, Andrew Yang, Tiancheng Chen +5
cs.DCarXiv:2610.11158v12026
Stochastic Client Selection for Federated Learning with Volatile Clients
Tiansheng Huang, Weiwei Lin, Li Shen +2
cs.LGcs.DCarXiv:2011.08756v32020
On Optimal Probabilities in Stochastic Coordinate Descent Methods
Peter Richtárik, Martin Takáč
stat.MLcs.DCmath.OCarXiv:1310.3438v12013
PRETZEL: Opening the Black Box of Machine Learning Prediction Serving Systems
Yunseong Lee, Alberto Scolari, Byung-Gon Chun +3
cs.LGcs.DCstat.MLarXiv:1810.06115v12018
Specifying Paxos for System Builders: Pseudocode Made Executable
Yanhong A. Liu, Rahul Sihag
cs.DCarXiv:2609.12239v12026
Distributed k-Means and k-Median Clustering on General Topologies
Maria Florina Balcan, Steven Ehrlich, Yingyu Liang
cs.LGcs.DCstat.MLarXiv:1306.0604v42013
Shards on a Shoestring: Empirical Characterization of NEAR Protocol Nightshade Sharding on Commodity Hardware
Sohini Sahukar, Om Amit Gandhi, Ioan Raicu
cs.DCarXiv:2609.12091v12026
GraphBLAST: A High-Performance Linear Algebra-based Graph Framework on the GPU
Carl Yang, Aydin Buluc, John D. Owens
cs.DCcs.MSarXiv:1908.01407v52019

Distributed and Cluster Computing

waLBerla: A block-structured high-performance framework for multiphysics simulations

A Survey on Resource Management in Joint Communication and Computing-Embedded SAGIN

CompileMask: Bridging the Gap Between Expressiveness and Efficiency in Attention Masking

Stacked Intelligent Metasurface-Based MultiModal Feature Fusion for Collaborative Inference in Edge Networks

Deployment of a Blockchain-Based Self-Sovereign Identity

Capturing Electrical Windows Through Reconfigurable Optical Networks: Transfer-aware Scheduling of Multi-Region AI Data Centers

Execution-Feasible Dispatch of LLM Pre-training Loads for Renewable-Dominant AI Data Centers

FedCor: Correlation-Based Active Client Selection Strategy for Heterogeneous Federated Learning

Distributed computation of persistent homology

FL-WBC: Enhancing Robustness against Model Poisoning Attacks in Federated Learning from a Client Perspective

Acceleration of Data Analytics on Heterogeneous Supercloud Systems

Terracotta: Enabling the Adoption of New DRAM Techniques via a Flexible DRAM Interface and Memory Controller

High Speed Network Processing for Scientific Computing in the Open Cloud Testbed

RESOLVE: Language-Agnostic Validation of GPU Kernels Through Testing, Reduction, and Proof

Mosaic: GPU Sharing with Latency Guarantees through Kernel-Level Interference Prediction

Flexible Byzantine Fault Tolerance

mKernel: Fast Multi-GPU, Multi-Node Fused Kernels

A Measured Communication-Quality Frontier for Federated LoRA Fine-Tuning with Adaptive Phase-Switching

Sharper Convergence Guarantees for Asynchronous SGD for Distributed and Federated Learning

Automatically Detecting and Fixing Deadlocks in Go Code with GoDDaR

Adaptive Multi-Discriminator WGAN Framework for Resource-Constrained Internet of Vehicles Using Reinforcement Learning and Game Theory

Hybrid Monitoring for Early Fault Detection in Cloud-Native 5G Systems

HeatCache: Thermal-aware Energy-efficient LLM Inference Scheduling for Chassis-level Liquid Cooling in Sustainable Edge Server Rooms

ForgeMegakernel: A General Framework for Efficient Auto-Regressive Model Decode Megakernels

Unleashing the Power of Equality Saturation for Tensor Program Superoptimization

A Dynamic Vertical Scaling Strategy for Distributed Stream Processing Applications in Edge Computing

GreenDirector: carbon- and water-aware workload placement for sustainable computing

Argus: Orchestrating Cross-Layer GPU Performance Measurements around Semantic Regions

Extreme-Scale Linear-Scaling Kohn-Sham DFT at 100 Million Atoms: Bridging Quantum Simulations and Experiments

NFT-Based Reward Mechanisms: Sybil Farming, Vesting, and Stochastic Verification

A Feature-Rich Embedded NIDS with eBPF/XDP: Detector and Architecture Trade-offs

Dissecting GPU Utilization for LLM Inference on Nvidia Hopper

HoliBench: A Cross-Platform Benchmarking and Deployment Toolkit for Foundation Models in CPS-IoT Applications

Performance Limits for Distributed Estimation Over LMS Adaptive Networks

Hidden in Rounds: Predicting the Time Cost of 802.11 Contention in Federated Learning

New Contraction Bounds for Multidimensional Asymptotic Consensus in Dynamic Networks

Locally Repairable Codes with Multiple Repair Alternatives

Oobleck: Resilient Distributed Training of Large Models Using Pipeline Templates

4D Parallelism Unlocks Exascale Bayesian Neural Networks for High-Fidelity Atmospheric Modeling

Fast and Memory Efficient Offload Training Framework with Hybrid XPU Computation

Federated Zeroth-Order Optimization with Direction Aggregation and Variance Reduction

RoofLang: Enabling AI-Driven Architecting of LLM Inference Systems

BRIDGE: Byzantine-resilient Decentralized Gradient Descent

IAPRepair: In-Network Aggregation Enhanced Proactive Repair for Erasure-Coded Storage System

Sherman: A Write-Optimized Distributed B+Tree Index on Disaggregated Memory

OneLA: Scaling Linear-Attention Decoding to Large Beams in Generative Recommendation

NovaFabric: Tamper-Evident, Replayable Evidence for Autonomous AI Agent Runs

The Blockchain Anomaly

Efficient Decentralized Deep Learning by Dynamic Model Averaging

A Survey and Taxonomy of Self-Aware and Self-Adaptive Cloud Autoscaling Systems

Recent Advances in Bayesian Optimization

NosRacer: Dynamic Detection of Race Conditions in On-Device Network Operating Systems

Zepp: Accelerating Distributed MoE Serving under Relaxed Balance Constraints

Stochastic Client Selection for Federated Learning with Volatile Clients

On Optimal Probabilities in Stochastic Coordinate Descent Methods

PRETZEL: Opening the Black Box of Machine Learning Prediction Serving Systems

Specifying Paxos for System Builders: Pseudocode Made Executable

Distributed k-Means and k-Median Clustering on General Topologies

Shards on a Shoestring: Empirical Characterization of NEAR Protocol Nightshade Sharding on Commodity Hardware

GraphBLAST: A High-Performance Linear Algebra-based Graph Framework on the GPU